On Oct 11, 2009, at 9:17 PM, Mikkel Meyer Andersen wrote:
Simon,
Thanks for your answer.
Do you have a link describing the procedure on compiling for iPhone
or is it really just ready out of the box?
You can compile R itself (libR) out of the box just using regular
cross-compilation. The only issue are packages with native libraries -
the easiest way is to create a multi-arch R so that the non-libs parts
are actually built on the native architecture. For anything
troublesome your can then also use R --arch=arm CMD SHLIB. This is
really more a proof of concept since you're still missing a command
line as there is no shell or ssh or normal iPhones but you could hook
it into any GUI ..
Of course as my old post on R-SIG-Mac on the topic says we don't have
plans to use UIKit, but that's probably not that relevant for you
anyway.
Cheers,
Simon
A description would help me
trying to do it with Android. I've done some searching, but the only
relevant hit I've found is
http://ephphatharesearch.com/Eph_Blog_Post.aspx/Show/41.
Cheers, Mikkel.
2009/10/12 Simon Urbanek <simon.urba...@r-project.org>:
Mikkel,
On Oct 11, 2009, at 6:38 AM, Mikkel Meyer Andersen wrote:
As a follow-up on [1], I'd like to raise the question of whether
it's
practically possible to compile R to the Google Android mobile
platform?
The best way would probably be to use the Native Developer Kit [2],
NDK, and in that way get a library. This could then be interfaced to
by a Java-program.
I know that several questions have been raised against the idea,
e.g.
with the input methods and all that, but I wouldn't be that hard to
make an alternative input method or even a new language that could
be
compiled to R.
The reason I'm raising this question again, is that I would really
want a (basic) statistical package on my mobile phone, and I think
it
would be kind of stupid to start writing one from scratch when R is
already out there.
Get an iPhone ;), you can compile R for iPhone OS almost out of the
box.
But seriously, the NDK seems to be ARM as well (like the iPhone) so
chances
are that is may work in a similar fashion. According to the NDK
docs it
includes JNI so you should be able to use rJava/JRI to embed R (see
the JGR
project for an example of a GUI using the "normal" Java). [I didn't
actually
try it so your mileage may vary].
Unfortunately I don't know that much about build systems and are not
capable of assesing whether it indeed would be possible to port R to
Android through NDK. I know a bit of both R, Java, and C and would
be
able to help trying some different approaches, if anybody wants to
help me.
The alternative is to start writing a new mobile statistical package
from the beginning. And although it should only maybe support 5% of
the functionality of R, it would take a lot of time to do that. And
I'd love to avoid that when good people has already done an amazing
job :-).
People have proposed that and tried that long time ago, but I don't
think
anyone succeeded.
Cheers,
Simon
Cheers, Mikkel Meyer Andersen.
[1]: http://finzi.psych.upenn.edu/Rhelp08/2009-February/187425.html
[2]: http://developer.android.com/sdk/ndk/1.5_r1/index.html
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